Self-estimation of surgical skills and competencies based on the learning curve theory in medical residents and fellows

Abstract

Objective: The aim was to explore how in-training junior physicians perceive their surgical performance compared with the one externally rated by their senior surgeon trainers, using a general learning curve model. Methods: Between April and June 2018, a prospective study was conducted at a community hospital associated with a school of medicine. To assess how in-training physicians estimated their surgical performance, 48 surgical residents and fellows were invited to choose one among six options using a scale ranging from “novice” to “automatic expert.” In addition, five senior surgeons who supervised the residents/fellows were asked to give their own opinions on each surveyed physician’s expertise level, according to the same categories. Concordance analysis was done to compare residents’ and fellows’ self-perceived skills and their actual performance as estimated by senior surgeons. Results: Self-assessments tended to overestimate residents’ and fellows’ position on the learning curve; particularly for “proficient” over “competent,” and for “automatic expert” over “expert” categories (p = 0.025). The average degree of agreement among senior physicians was 50.0%. Comparison between residents’ and fellows’ perceived skills and their performances as estimated by senior surgeons showed a weak concordance (kappa = 0.494, 95% confidence interval 0.359-0.631, p < 0.0001). Conclusions: Nearly 51% of the residents/fellows included in some surgical specialty training program overestimated his/her actual performance as evaluated by classical learning curve categories. Underestimation of self-assessed performance was also observed in 17% of respondents. A better feedback from expert observers to in-training surgeons could result in a more accurate self-perception of their real surgical skills and competencies.